OutlierDC-package: Functions for Dectecting Outlying Observations using Quantile Regression in Censored Data
Description
This package offers three outlier detection algorithms based on censored quantile regression.Details
ll{
Package: OutlierDC
Type: Package
Version: 0.2-1
Date: 2013-03-16
License: GPL version 2 or newer
LazyLoad: no
}
The package OutlierDC is the implementation of the outlier detection algorithms proposed by Eo, Hong and Cho (2013+). Three outlier detection algorithms using quantile regression are proposed, which are modified versions of existing algorithms for uncensored data. We illustrated with real data from the SEER database, which contains a number of data sets related to various cancers.References
Eo SH, Hong SM and Cho H (2013+). OutlierDC: Outlier Detection Algorithms using Quantile Regression for Censored Survival Data. submitted.